Planted Crop Selection for Plant Factory

• Main Authors: LIN,YI-JYUN, 林怡君
• Other Authors: SYU,SHENG-YUAN
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/smff97

碩士 === 建國科技大學 === 服務與科技管理研究所 === 104 === World population has reached 72.6 millions of people in 2015. According to the United Nations predicted that the global population will be increased to 9.6 billion in 2050, but the Earth's arable near saturation. Plant Factory is high investment. Therefore, how to choose crops can create the greatest benefits, and marketing analysis, to effective enhanced a whole Plant Factory resources. Will be point for Plant Factory. With a Hsiluo fruit and vegetable market and Yunlin-Chiayi weather patterns as the research subject, and selected 8 crop with leaf vegetables for Plant Factory as the research objects. The study will adopt the Agricultural trade market station and Central Weather Bureau and Air quality observation get information, the linear regression analysis and the back-propagation neural network of WEKA is conducted to establish the forecasting model, and provide plant factory according to the analysis of low and high seasons crops and crop recommend ways for crop selection reference. Analysis of results, prediction and the actual situation of the comparison, SPSS linear regression to accurately predict planted the sequence of up to 80%, it represents the crop selection is worth for reference.